Advanced Mathematical Science for Mobility Society
Ikeda, Kazushi, Kawamura, Yoshiumi, Makino, Kazuhisa
- 出版商: Springer
- 出版日期: 2024-04-14
- 售價: $2,130
- 貴賓價: 9.5 折 $2,024
- 語言: 英文
- 頁數: 215
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819997747
- ISBN-13: 9789819997749
海外代購書籍(需單獨結帳)
商品描述
This open access book presents the mathematical methods for huge data and network analysis.
The automotive industry has made steady progress in technological innovations under the names of Connected Autonomous-Shared-Electric (CASE) and Mobility as a Service (MaaS). Needless to say, mathematics and informatics are important to support such innovations. As the concept of cars and movement itself is diversifying, they are indispensable for grasping the essence of the future mobility society and building the foundation for the next generation. Based on this idea, Research unit named "Advanced Mathematical Science for Mobility Society" was established at Kyoto University as a base for envisioning a future mobility society in collaboration with researchers led by Toyota Motor Corporation and Kyoto University.
This book contains three main contents.
1. Mathematical models of flow2. Mathematical methodsfor huge data and network analysis3. Algorithm for mobility society
The first one discusses mathematical models of pedestrian and traffic flow, as they are important for preventing accidents and achieving efficient transportation. The authors mainly focus on global dynamics caused by the interaction of particles. The authors discuss many-body particle systems in terms of geometry and box-ball systems. The second one consists of four chapters and deals with mathematical technologies for handling huge data related to mobility from the viewpoints of machine learning, numerical analysis, and statistical physics, which also includes blockchain techniques. Finally, the authors discuss algorithmic issues on mobility society. By making use of car-sharing service as an example of mobility systems, the authors consider how to construct and analyze algorithms for mobility system from viewpoints of control, optimization, and AI.
The automotive industry has made steady progress in technological innovations under the names of Connected Autonomous-Shared-Electric (CASE) and Mobility as a Service (MaaS). Needless to say, mathematics and informatics are important to support such innovations. As the concept of cars and movement itself is diversifying, they are indispensable for grasping the essence of the future mobility society and building the foundation for the next generation. Based on this idea, Research unit named "Advanced Mathematical Science for Mobility Society" was established at Kyoto University as a base for envisioning a future mobility society in collaboration with researchers led by Toyota Motor Corporation and Kyoto University.
This book contains three main contents.
1. Mathematical models of flow2. Mathematical methodsfor huge data and network analysis3. Algorithm for mobility society
The first one discusses mathematical models of pedestrian and traffic flow, as they are important for preventing accidents and achieving efficient transportation. The authors mainly focus on global dynamics caused by the interaction of particles. The authors discuss many-body particle systems in terms of geometry and box-ball systems. The second one consists of four chapters and deals with mathematical technologies for handling huge data related to mobility from the viewpoints of machine learning, numerical analysis, and statistical physics, which also includes blockchain techniques. Finally, the authors discuss algorithmic issues on mobility society. By making use of car-sharing service as an example of mobility systems, the authors consider how to construct and analyze algorithms for mobility system from viewpoints of control, optimization, and AI.
作者簡介
Kazushi Ikeda received his Ph.D. in Engineering from the University of Tokyo and is currently a professor at the Graduate School of Science and Technology at Nara Institute of Science and Technology. He specializes in research on mathematical informatics that includes machine learning theory and applications, mathematical biology, and computational neuroscience.
Yoshiumi Kawamura received Ph.D. in Theoretical Chemistry at Waseda University in 2005. He joined Toyota Motor Corporation in 2005. He has been involved in research on simulation and informatics for the development of materials for automotive applications. His current position is a manager of the advanced research in Mathematical Sciences and Data Science, etc.
Kazuhisa Makino received the Ph.D. in Applied Mathematics and Physics from Kyoto University. He is currently a professor of the Research Institute for Mathematical Sciences, Kyoto University. He has authored or coauthored morethan 200 peer-reviewed journal and conference papers. His research interests include discrete mathematics, optimization, and algorithm theory. He has received many scientific awards and honors, such as AAAI Outstanding Paper Award 2002, ISAAC Best Paper Award 2016, and Editors' Choice of Discrete Applied Mathematics 1999 and 2003.
Satoshi Tsujimoto is a professor in Graduate School of Informatics at Kyoto University. He received his Ph.D. degree in engineering from Waseda University in 1997. He joined the faculty at Waseda University and moved to Osaka University and Kyoto University. His research interests are in applied mathematics, particularly with the theory of applications of discrete integrable systems, special functions, and orthogonal polynomials.
Nobuo Yamashita received Ph.D. in Engineering at Nara Institute of Science and Technology in March 1996. After he was a research fellow at Japan Society for the Promotion of Science in 1996, he was appointed an assistant professor at the Section of Applied Mathematics and Physics, Graduate School of Engineering, Kyoto University in August 1997. In April 2005 he became an associate professor at the department of Applied Mathematics and Physics, Graduate School of Informatics, and In July 2014 he was promoted to professor. He is also the research director of the joint research project, "Advanced Mathematical Science for Mobility Society" between Kyoto University and Toyota Motor Corporation. His research interests include continuous optimization, equilibrium problems, and nonlinear equations.
Shintaro Yoshizawa received a Ph.D. in Statistical Mathematics from the Graduate University for Advanced Studies in 1999. After being a visiting researcher at the Isaac Newton Institute for Mathematical Science in 2000, a postdoctoral researcher at the University of Würzburg from 2001 to 2002, and a visiting fellow at the Australian National University Institute of Advanced Studies in 2002, he joined Toyota Motor Corporation in 2003. He has been involved in R&D related to robotics intelligence, human characteristics, and mathematical science for the Mobility Society. His current position is as a project manager for advanced research in Robotics.mathematical science for Mobility Society. His current position is a project manager of the advanced research in Robotics.
Hanna Sumita is an associate professor at the School of Computing, Tokyo Institute of Technology. She received Ph.D. in the field of Information Science and Technology from the University of Tokyo in 2015. Her research includes combinatorial optimization and algorithmic game theory.
Yoshiumi Kawamura received Ph.D. in Theoretical Chemistry at Waseda University in 2005. He joined Toyota Motor Corporation in 2005. He has been involved in research on simulation and informatics for the development of materials for automotive applications. His current position is a manager of the advanced research in Mathematical Sciences and Data Science, etc.
Kazuhisa Makino received the Ph.D. in Applied Mathematics and Physics from Kyoto University. He is currently a professor of the Research Institute for Mathematical Sciences, Kyoto University. He has authored or coauthored morethan 200 peer-reviewed journal and conference papers. His research interests include discrete mathematics, optimization, and algorithm theory. He has received many scientific awards and honors, such as AAAI Outstanding Paper Award 2002, ISAAC Best Paper Award 2016, and Editors' Choice of Discrete Applied Mathematics 1999 and 2003.
Satoshi Tsujimoto is a professor in Graduate School of Informatics at Kyoto University. He received his Ph.D. degree in engineering from Waseda University in 1997. He joined the faculty at Waseda University and moved to Osaka University and Kyoto University. His research interests are in applied mathematics, particularly with the theory of applications of discrete integrable systems, special functions, and orthogonal polynomials.
Nobuo Yamashita received Ph.D. in Engineering at Nara Institute of Science and Technology in March 1996. After he was a research fellow at Japan Society for the Promotion of Science in 1996, he was appointed an assistant professor at the Section of Applied Mathematics and Physics, Graduate School of Engineering, Kyoto University in August 1997. In April 2005 he became an associate professor at the department of Applied Mathematics and Physics, Graduate School of Informatics, and In July 2014 he was promoted to professor. He is also the research director of the joint research project, "Advanced Mathematical Science for Mobility Society" between Kyoto University and Toyota Motor Corporation. His research interests include continuous optimization, equilibrium problems, and nonlinear equations.
Shintaro Yoshizawa received a Ph.D. in Statistical Mathematics from the Graduate University for Advanced Studies in 1999. After being a visiting researcher at the Isaac Newton Institute for Mathematical Science in 2000, a postdoctoral researcher at the University of Würzburg from 2001 to 2002, and a visiting fellow at the Australian National University Institute of Advanced Studies in 2002, he joined Toyota Motor Corporation in 2003. He has been involved in R&D related to robotics intelligence, human characteristics, and mathematical science for the Mobility Society. His current position is as a project manager for advanced research in Robotics.mathematical science for Mobility Society. His current position is a project manager of the advanced research in Robotics.
Hanna Sumita is an associate professor at the School of Computing, Tokyo Institute of Technology. She received Ph.D. in the field of Information Science and Technology from the University of Tokyo in 2015. Her research includes combinatorial optimization and algorithmic game theory.
作者簡介(中文翻譯)
池田和志在東京大學獲得工程學博士學位，目前是奈良科學技術大學院大學科學技術研究科的教授。他專注於數學信息學的研究，包括機器學習理論和應用、數學生物學和計算神經科學。
川村佳宏於2005年在早稻田大學獲得理論化學博士學位。他於2005年加入豐田汽車公司，從事汽車應用材料的模擬和信息學研究。他目前擔任數學科學和數據科學等高級研究的經理職位。
牧野和久在京都大學獲得應用數學和物理學博士學位。他目前是京都大學數學科學研究所的教授。他是200多篇同行評審的期刊和會議論文的作者或合著者。他的研究興趣包括離散數學、優化和算法理論。他獲得了許多科學獎項和榮譽，例如2002年AAAI傑出論文獎、2016年ISAAC最佳論文獎，以及1999年和2003年《離散應用數學》的編輯之選。
辻本聰是京都大學資訊學研究科的教授。他於1997年在早稻田大學獲得工程學博士學位。他曾在早稻田大學任教，後來轉到大阪大學和京都大學。他的研究興趣是應用數學，特別是離散可積系統應用理論、特殊函數和正交多項式。
山下信夫於1996年在奈良科學技術大學獲得工程學博士學位。1996年在日本學術振興會擔任研究員後，於1997年8月被任命為京都大學工學研究科應用數學和物理學部助理教授。2005年4月成為資訊學研究科應用數學和物理學系副教授，2014年7月晉升為教授。他還是京都大學和豐田汽車公司之間的聯合研究項目“先進數學科學為移動社會”研究總監。他的研究興趣包括連續優化、均衡問題和非線性方程。
吉澤新太郎於1999年在高等研究院獲得統計數學博士學位。2000年在艾薩克·牛頓數學科學研究所擔任訪問研究員，2001年至2002年在維爾茨堡大學擔任博士後研究員，2002年在澳大利亞國立大學高級研究所擔任訪問研究員後，於2003年加入豐田汽車公司。他一直從事與機器人智能、人類特性和移動社會的數學科學相關的研發工作。他目前擔任機器人高級研究的項目經理。
住田花奈是東京工業大學計算機學院的副教授。她於2015年在東京大學獲得信息科學與技術領域的博士學位。她的研究包括組合優化和算法博弈論。